The proposed framework has been thoroughly evaluated on five public CXR datasets with four different classification networks, i.e., VGG-16 [1]}, ResNet-50 [2]}, ResNet-101 [2]} and MobileNet [4]}. Furthermore, these networks have been trained incrementally where, in each iteration, they minimized the proposed \(L_{IL}\)  loss function to learn different pulmonary disease classification tasks. To present the evaluation results of the proposed framework in the best manner, we organized this section as follows: At first, we present detailed ablation studies to determine the hyperparameters of the proposed framework on all five datasets. Afterward, we present a detailed evaluation of the proposed on each dataset.
